TileCode–Creating games on and for handheld devices

People are Microsoft always seem to be working on interesting and unexpected (to me anyway) things.  My most recent discovery is TileCode. From the website:

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Microsoft TileCode is an app for designing, coding, and playing video games directly on low-cost MakeCode Arcade gaming handhelds, as well as in the web browser. With TileCode, we are using the medium of video games to explore the combination of

• Natural language for informally specifying games goals, rules, and mechanics;
• Physical computational models that foreground concepts such as data parallelism, pattern matching, and conflict resolution;
• Testing and debugging of programs to establish confidence in their behavior and to refine specifications;
• Machine learning to help bridge the gap between natural language and programs, as well as to generate non-player character behavior in games.

Our ultimate goal is to provide a sandbox in which students can express and refine their game ideas, while learning about computation, programming, and machine learning, supported by software engineering practices.

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It's a pretty interesting idea. I wonder how it might work in classrooms. There is a webinar about their research later in November that I hope to sit in on.

TileCode builds on a lot of previous work and not just from Microsoft. It builds on Kodu and MakeCode but they reference a lot of other block based tools in their paper - TileCode: Creation of Video Games on Gaming Handhelds

I'm really fascinated by the work I am seeing in domain specific tools lately. While games are a popular topic I'm been following Mark Guzdial's work with domain specific languages for Social Studies with interest. I tend to think that rather than see artificial intelligence take over the job of programming that we’ll see more and more domain specific languages (should we call them tools?) that people will use.  I’m not convinced that AI and machine learning will know when rules are really guidelines.

What If We Asked Students To Write Textbooks?

A professor friend on Facebook posted that a student emailed him to say that they textbook the were using was “crap.” I suggested in jest that he asked the student to write a better one. That’s pretty tough since how do you write a textbook about something you are learning as you go? (Can be done. Is painful. Don’t ask how I know this.)

The exchange got me thinking though. Supposed we asked students to write a chapter for a mock textbook? Or perhaps asked them to write step by step instructions for completing an exercise assignment. After it was covered in class but perhaps in lieu of a test.

I think it would be interesting to see how students explain concepts. Have they write to explain things to people their own age. How would they explain things? What words would they use? What examples would they give?

They say that to really understand something you have to be able to explain it to others. 

Somehow I don’t think most students would like this exercise though. Of course we already ask students to do things they don’t like – taking tests being one of them.  I do think that it would give us insights into what they do understand and how they understand it. Or misunderstand it as the case maybe.

Anyone want to try it?

Thinking About the Algorithms in Our Lives

My wife and I use these fitness trackers, ours are made by Garmin, to keep track of our activity during the day. Each day the devices give us a goal for how many steps we should take that day.  The goal goes up or down depending on how many steps we did on the previous day. I think. Maybe.

Being the computer guy that I am I keep thinking about how the algorithm actually works. Is it a simple algorithm based on some sort of average or does it have some amount of smarts? Does it take several days activity into account or just the previous days? Like so many things in our lives the algorithm is completely opaque to users.

Google Page Rank, the algorithms that run on the computers controlling our cars, and the software John Deere uses to control the equipment they make. (see article linked below for way this opacity is a problem for some) are all secret. Why?

Well, various companies have various reasons for keeping their algorithms secret. Competitive advantage is the reason for some. For many it is to keep people from “gaming the system.” Google, and other search engines, don’t want people to find ways to get unfairly high placement in searches. I suspect some of that is involved in my Garmin’s secrecy. For others, it is about keeping control of the how the systems them make are run – often for the sake of safety. That’s why many companies don’t want their software “messed with.”

How good or bad this is for the consumer is quite up for debate. There are solid arguments on both side. Arguably, the right thing depends on the situation in many (perhaps most) cases. These are issues we need to think about going forward. People who write software and create algorithms have a responsibility to make the right decisions about secrecy or openness. The decisions have to be about more than just money as well.

Do you discuss these issues with students? I think we need to do so.

Farmers Fight John Deere Over Who Gets to Fix an $800,000 Tractor

Artificial Intelligence, Humor, and Appreciation of Beauty

Last night I started re-reading Heinlein’s The Moon Is A Harsh Mistress.  It’s an old book, written in the mid 1960s, so there are some old ideas about computers and computing in it for sure. There is some hand waving about how AI is done and how the computer, Mike or Mycroft Holmes, becomes self aware. It is fiction after all. The computer is trying to understand humor and a human friend is trying to help. One way he is helping is to get lists of jokes and report back on which jokes are funny, which are funny once, and which ones are always funny. That sounds a bit like machine learning we see today I think.

In any case, even is the computer does understand humor at some level and is able to create jokes that people find funny does that mean it has a real sense of humor? Will it be able to laugh at jokes that are not in its system? I wonder.

This makes me wonder about other things. We know that AI has been able to write music that people enjoy and create art that looks like it was done by master artists. Is creating art or music the same as enjoying art and music? Maybe not. Now human artists “hear” music in their heads before they write it down or play it. Beethoven write music while he was deaf and so could not hear it being played.

I’ve been to a number of wine tastings. I don’t like wine. No matter how many times I taste it I just don’t enjoy the taste. Listening to wine experts talk about wine and tasting it myself I think (could be wrong) I could learn to identify the wines that wine lovers like. I don’t see me enjoying the process very much though. Understanding is not the same as enjoying. Is it the same for computers and AI? I think so.Recognizing beauty or humor or music is not the same as enjoying it.

The difference between humans and AI is that humans enjoy their creations. And they enjoy the creations of others. If we think about creating beauty as enough to  being human-like  I think we have a narrow view of humans. What do you think?

MicroBlocks For IoT and other Physical Computing

Well, there is a new tool in town for programming micro devices like the Micro:bit and the AdaFruit Circuit Playground Express and many more! It's called MicroBlocks and was created by a rock star team with experience with creation of such tools as Scratch and Snap!. It’s pretty exciting for a number of reasons. One of them is the wide variety of devices it works with. Another is the Natural Languages it supports.

Live Coding is another interesting feature.

MicroBlocks is a live environment. Click on a block and it runs immediately, right on the board. Try out commands. See and graph sensor values in real time. No more waiting for code to compile and download.

And Multi Tasking.

Want to display an animation while controlling a motor? No problem! MicroBlocks lets you write separate scripts for each task and run them at the same time. Your code is simpler to write and easier to understand

I played with it a bit and it looks pretty intuitive especially for those with previous block programming experience. I made the mistake of trying it without having a device to use with it handy. I have several at home and so I’ll be trying them next week. But I wanted to get the word out so that if people want to try it over the weekend (yeah, I know you don’t have as much free time as you want) or have some students try it out you could.

Sometime next week I want to do a side by side comparison with MakeCode which supports several of the same devices. Some obvious differences are that MicroBlocks supports running the exact same app on different types of devices and that MakeCode has emulators. Since most people only use one type at a time and have physical devices the impact of those differences will be different in different environments.

We are living in exciting times!

What I miss and don’t miss about teaching

Fall has come and while students are back in school I am not. I’ve been reflecting a bit about that. I don’t miss getting up at 6 AM and driving for close to an hour to get to school. I don’t miss running my life by a bell schedule. I don’t miss grading, report cards, and other administrivia. I don’t miss classroom management issues.

On the other hand, I do miss interacting with students. I especially miss the interactions that take place outside of class. I miss the look, and sound, of students when they get a concept or when their program works – finally. I miss debugging student problems with programs or their project. Students are very good at finding ways to mess up a Visual Studio project. That’s the one big downside to using a professional tool. But I had fun putting things back together.

There are all sort of debugging issues that come up in the code. There is syntax issues (semi colon hide and seek anyone?) and logic problems. Both are fun little puzzles to solve. And I am sure there are still many that students have not discovered.

But the big miss is the students. I still think I retired at the right time for me.

I hope your school year is going well. I am following all sort of teacher/school things on social media and I know its not easy. Stay safe. And if you have a student program you can’t debug let me know.

Why Computer Science Teachers Should Read Books

Since I retired I have been reading more computer science related books. You may have read my book reviews on Humble Pi, Weapons of Math Destruction, or Computer Science in K-12. More and more I realize that I missed out on a lot of good ideas and information. Each of those books has given me ideas that I wish I had thought of a long time ago.

Currently, I am reading Nine Algorithms That Changed the Future: The Ingenious Ideas That Drive Today's Computers. I haven’t gotten very far yet but the book has covered indexing of web pages, PageRank, and public key encryption so far. I’ve started the chapter on error detection. Pattern recognition, data compression, data bases, and more are yet to come. I’m really looking forward to data compression. Teaching AP CS Principles has built up an interest that I didn’t have before.

The indexing chapter is one I had read long ago. Many years ago I experimented with indexing. I wrote some code that indexed the Bible for me. The program was more general purpose than that but the Bible seemed like a good challenge. The program used a list of words and a text file of a book as input. It output a markup language file that worked with a product called VAX Document. VAX Document read the markup language, called SDML, and formatted a document including an index. I wish I still had the code so I could adapt it for some other backend processors. Sigh.

In any case, the idea of creating and assigning indexing projects has some appeal for me. I can see this being interesting for students especially in the context of understanding search engines and more involved search queries.

Other chapters include a lot of information that would be helpful in understanding and explaining various important concepts. And maybe inspire still more programming projects!  So I do recommend this book to AP CS Principles teachers.

PS: More of my book reviews at http://blog.acthompson.net/search/label/book%20reviews

How Are You Doing?

We’ve now finished the first week after Labor Day and at least in North America almost everyone is back to school. That may not mean physically back in a bricks and mortar school building though. My grandson is starting kindergarten online this week. I didn’t see that coming a year ago. Teachers, students, and parents are adopting to all sorts of new ways of teaching and learning. 

I confess to being happy I am retired but I am also sympathetic so those still teaching. I do worry about you all. I hope you are finding ways to take care of yourself.

My son is an elementary school principal and his summer was as busy, if not more so, than during the middle of the school year. Administrators have been having a tough time so have some sympathy for them.

Somehow many people seem to think this is all easier for computer science teachers. This is not the case of course. Yes, we may be more comfortable with computers than some teachers but the tools for teaching online are new to us as well. And helping students with computer problems is as hands on as helping students in art, or math, or English. Maybe more so at times.

I think we’ll see some tools appear and older tools will see new features develop Social media is full of teachers talking about online IDEs for example. I’m still not a fan but that’s me. I still like the idea of using virtual machines on a powerful server for teaching computer science..  No doubt a lot of people will be trying new things. If nothing else, we’re going to learn a lot this year about new tools for teaching CS.

And that brings me to a final point, have you thought about sharing what you are learning with other computer science educators? The call for proposals for CSTA 2021 is out. Even if you are learning a lot of what doesn’t work you are learning some things that do work. We’re all better off if we all share what we are learning. Please consider a proposal for the conference. If you have questions about what is involved let me know. I love presenting at CSTA conferences. It’s the best audience you could have. Seriously!

The End of School Computer Labs?

There has been a lot of talk in recent years about doing away with computer labs in schools. BYOD and one to one computers have been talked about and have been growing movements for a while. I wonder if the current situation will be the final tipping point.

My old school removed the computers from the computer labs. The work involved in constantly sterilizing and cleaning them was becoming too much. So students bring their own devices and now connect to virtual machines via the network. They have access to all the school’s licensed software no matter what device. This worked great when we moved to remote learning in the spring.

Besides the cleaning/sterilizing issue this means a lot of new flexibility. Of course it makes it easier if school has to close and students have to learn from home. But in school it opens more rooms for teaching. And if you have small rooms classes can even be split across rooms with teachers in one room, or even at home, teaching to several rooms with safety distancing.

I computer room can have a more flexible layout, perhaps with easily movable tables for group work, focusing on a lecture, or just plain spreading out.

Will computer labs now totally disappear? We’ll see. A lot depends on a willingness and ability to provide computers for every student. That’s easier in wealthy areas than poor ones. But it just may be the way things have to be.

Book Review: Humble Pi

Recently, I asked my Facebook friends for recommendations for non-fiction books that would not get me depressed. Several people recommended Humble Pi: When Math Goes Wrong in the Real World so I bought a copy. I’m glad I did.

The book presents some interesting case studies in math done wrong. From people confusing units of measure (pounds and kilograms for example)  to engineers changing one variable in an equation and assuming the answer doesn’t change and many more. As you might expect there are a lot of examples where computers play a role.

There are examples of problems caused by variable type mismatches, binary overflows, and people just misinterpreting the results. You’ll get any number of examples you can use with students. A valuable book to teachers of computer science, physics, and mathematics for sure.

The book is written in an easy to read and often humorous fashion. It’s an enjoyable read even if you are “not a math person.” I bought the Kindle edition but I am wishing I hard bought a hardcopy edition to keep on my bookshelf. I’ll be back looking at this one.

Are You Ready to Help with CSTA 2021

The call for participation in CSTA 2021 is now out. You can learn about the submission process and look at some possible topic areas on the conference information page here. There are several ways to help out with the conference (see below). You can present or you can become a reviewer. Both are very important roles.

I encourage CS teachers to consider submitting a proposal to present. I have been honored to present at the CSTA conference a number of times over the years and have found it a very rewarding experience. The audience is kind and anxious to learn. This summer, the conference being online, added a new and extra facet which I found surprisingly energizing. I am hoping, as I think most of us are, that next summer we will be meeting in person. Either way, presenting at CSTA is a great way to be part of the community and to help expand knowledge

Chances are that you tried something new this past spring. Or will be trying something new this fall semester. That means you probably have something worthwhile to share. Don’t be shy!

Reviewers are also critical to having a good conference. Reviewers read and evaluate proposals and are essential in the process of picking the best presentations at the conference. Please think about helping out in this way.

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• Apply to present: We're accepting submissions for a one-hour session, three-hour workshop, 20-minute mini-session, 45-minute Birds of a Feather discussion, or a poster session. Visit our website for more information on the process and to submit your application. All submissions are due by Nov. 8.
• Become a reviewer: We invite you to consider reviewing submissions for CSTA 2020! If you've attended or presented at a prior CSTA conference, have a connection to K–12 computer science, and are available between Nov. 23, and Dec. 17, consider volunteering your time!

Learning Python Part 2: Distracted by a Turtle

I cracked a book and found out that Python supports turtle graphics. I love drawing pictures with graphics. I have since I was in university. So today I played around with the Python turtle a bit.

Mostly I played with a few of the usual turtle methods and wrapping drawing code inside loops. I had some fun but didn’t learn a lot. I’m not sure that was the most productive use of my time.

It did suggest that using graphics with Python is potentially a way to make learning Python more interesting. I have Mark Guzdial’s book on Media Computation around here somewhere. I’m going to dig it out and see if it the libraries for it will work in my environment.  I want to do more than draw lines.

Programming Projects for Learning or Grading

The purpose of school work is to get good grades. Well, at least that seems to be a common view on the part of students. Most teachers will tell you that the motivation for students to cheat is that they are lazy and still want to get good grades.  The recent posts by Mark Guzdial  (linked to at Changing How We Teach Computer Science) have sparked a lot of comments on his blog and on Twitter which had sparked some thoughts on my part.

I have long believed that projects are a great learning exercise for students. I haver become less enamored with them for grading. Cheating seems to show up all to often. Often it is hard to prove cheating because projects are to short, variable names are too likely to be the same logically, and there are limited ways to solve them. I have seen the most creativity and the least cheating (provable or otherwise) on larger projects where students were all doing something completely different.

A common thread in the comments I have been seeing recently is that students cheat not because they are lazy but because they don’t know how to solve the project on their own. This idea resonates strongly with me.  I see a lot of satisfaction on the faces of students who successfully complete projects. They tend to actually enjoy the process when they have success. 

Over the last several years I have increased the number of other means of assessments including multiple choice questions that include reading and understanding code. Comparing quiz results with project results has been interesting. Some students show close correlations between quiz grades and project results. Other students not so much. While I haven’t conducted a rigorous or scientific study by any means, my observations suggest to me that students are copying the projects of others because they haven’t gotten a strong enough grasp of the material. 

I’m pretty convinced that evaluative instruments that require the reading and understanding of code are better tools for understanding what students actually know than looking at projects. That is not to say that looking at projects is useless. To the contrary, students who work hard against the struggle show what they know and don’t know in their code. A project that doesn’t work correctly give a teacher a lot more information about student understanding than a project that works perfectly.

In my ideal world, I would give each student a different project for every concept I want them to demonstrate knowledge of. That is clearly not possible and certainly doesn’t scale to large classes. I’d love to have a way to watch student progress on a project. What do they try and what do they do when things either work or don’t work. I don’t know of a good tool to that right now or even if it is practical. I guess for now teachers will just have to watch students closer.And use other tools for grading and for determining what students actually know.

Learning Python: Part 1

Python has been on my radar for years but I haven’t really had the motivation to learn it myself. It’s time though for several reasons. Reason number one is that I need a learning goal to keep stretching my mind and knowledge. I don’t have a bunch of students finding new puzzles to solve so I have to make my own mistakes.

First step was to pick a development tool. I have played with a bunch. IDLE, PyCharm, Processing, and some I forget. I didn’t like any of them. So I am using Visual Studio. I expect many to tell me that was/is a horrible choice but its the devil I know so there is that. Many of the tools feel like steps backwards to me. I’ve gotten spoiled by the Intellisence in Visual Studio among other features. IDLE felt like what I used to learn BASIC-Plus 40+ years ago. Anyway, I want to spend my time learning a language not an IDE.

OF course there are two parts to learning a new programming language. Part one is the basic syntax. Part two is the idiom of the language. The first part is easy. The second not so much.

I’ve started with easy stuff. Declaration of variables, simple math, declaration of functions, and control flow. IF statements and while loops were pretty straight forward. For loops are different and idiom rears its ugly head here first for me.

For loops in Python seem to be what I think of a ForEach loops in other languages. Very powerful and useful. On the other hand, how do I do the equivalent of:

for (i=0; i <= 100; i+=5)
or
for i =0 to 100 step 5

Or do I need to use a While loop to do this? Go ahead, show off in the comments and help me out.

String manipulation, one of my favorite things to code, is probably next for me.I think that will be ok.  Lists and dictionary come after that. I think I will have to read up on them as they look to be thought of differently than arrays in the languages I am used to using. They also look like fun and powerful to use. So there is that.

Classes after that. Hopefully that moves quickly.

Once I get some basics down I’ll start looking into various libraries and what not. Perhaps go back to try some graphics in Processing. Is there an equivalent to Windows Forms like I use with C# and Visual Basic? Or do I have to go backwards again to do that?

At least I’m having fun. Now to go crack a book.

Changing How We Teach Computer Science

I haven't been blogging much lately. I'm adjusting to being retired for the most part but I have been reading and thinking a lot about teaching computer science along the way. Mark Guzdial has been thinking even harder and has posted a four part set of blog posts about the subject.

I find that many of his ideas as close to how I have done things in the past. Of course at the high school level we see a lot fewer students with previous experience in CS than many university faculty do. SO we follow much of his suggestions in proposal #1 out of necessary.

The whole series is worth reading. Don’t ignore the comments either.

• Changing Computer Science Education to eliminate structural inequities and in response to a pandemic: Starting a Four Part Series
• Proposal #1 to Change CS Education to Reduce Inequity: Teach computer science to advantage the students with less computing background
• Proposal #2 to Change CS Education to Reduce Inequity: Make the highest grades achievable by all students
• Proposal #3 to Change CS Education to Reduce Inequity: Call a truce on academic misconduct cases for programming assignments

Book Review: Weapons of Math Destruction

Weapons of Math Destruction has been out for a couple of years now and it is one of those books that a lot of people reference. I finally got around to reading my copy this week.  For those of you who are not familiar with it, the book talks about algorithms involving huge amounts of data and how they are used and misused.These WMD are involved in increasing parts of our lives from teacher evaluations, to credit scores, to policing, to getting hired for a job. Companies make assumptions that the algorithms are fair, impartial, and that they get the results they are advertised to provide. Often all of those assumptions are wrong.

In some ways I think the point could have been made with one or two chapters but providing a multitude of examples is definitely informative and convincing. The book is more than a little scary but I think that is the point. We should be concerned.

Those of us involved in computing, perhaps especially those of us teaching computing, need an eye opening book like this. It can help us do better and perhaps avoid some of the unintended consequences that this book so clearly outlines.

I’d love to assign this book as required reading to students. I could probably get away with that at the university level but high school students are both reading adverse and already loaded with a lot of reading. I think what I would do at the high school level would be to place a couple of copies on course reserve and assign specific chapters to individual students to read. I’d have them submit both an oral and a written report of their chapter. Some group discussions would also be a plus. This is a natural for an AP CS Principles course but I think it would fit in elsewhere as well.

We need people in computing who can look at technology and think about unintended consequences and, perhaps more importantly, ask what are the impacts on society of what we are thinking about doing? Is it all just about money and the bottom line or are we actually making people’s lives better?

Thoughts on Virtual Conferences - CSTA 2020

The first online CSTA Conference is now about 24 hours behind me. I was fortunate to experience it both as an attendee and a presenter. After mulling it over a bit I have to say it was a much better experience than I expected it would be.

Attending was very low friction. No travel half a day each way (with attendant airfare) no hotel to book and pay for and that is just to start. Attending sessions was easy. No hunting for rooms for example. I have put in a lot of steps in previous conferences going to the wrong room or finding a room at out of the way locations. None of that here. No trouble entering and finding a seat. Or leaving if I wanted to switch sessions. Really very smooth.

Attending sessions was great this way. I particularly liked the chat window as it allowed others to share resources and for more people to ask questions. I hope there is a way to capture the chat session information. I would like to have the comments from my presentation at least.

Presentations were of the usual high caliber for a CSTA conference. Sure some were better than others but over all much higher than some other conferences I will not name. Presenters seemed comfortable presenting online. Some of this may because a lot of us have been doing so for school but the preparation for presenters was really very well done. As a presenter I felt very prepared for the platform.

As a presenter things went pretty well. I had wanted to have a second monitor running but due to some technical issues that were all my fault I didn’t get that working. Let that be a lesson to me. Not being able to see the chat window while I was presenting was a disadvantage but the wonderful CSTA proctor was able to see it and fed me questions as appropriate. Having a person who can do it is very important in an online presentation.

While presenting I obviously could not see the reactions so setting an audience based pace was difficult at best. Attendee questions did help there. I also missed hearing people laugh at my jokes (be they intentional or otherwise). There were some comments in the chat that said people did laugh so that’s good. Presenting online is not as much fun for me as presenting in person. One the other hand, I don’t think any of us presenters would have had the size audience we had online if we’d had the conference in person.

The hopin platform worked very well – flawlessly for me. I recommend it. We had a reception area for finding out what was happening and when. A “main stage” for keynotes, breakout rooms for the concurrent sessions, a networking area, and a virtual exhibit hall.

The networking area was very interesting. It placed you in a session with a random attendee for 5 minutes. Just enough time to meet someone and be very low stress. You didn’t have to find an excuse to “walk away.” I took part a few times but as an introvert I have my limits.

The exhibit hall didn’t quite work for me. I like to look at booths and the physical objects in them. It was great if you like to listen to exhibitor presentations and I know that many people do. So that was a mixed story for me. I would love to know what exhibitors thought of the experience.

I was going to write about missing the “hallway track” in this post but I think that deserves a post of its own. So that will probably show up tomorrow.

CSTA Online Conference 2020–Day Two

The first thing I did this morning was to prepare for my presentation. I may have made some last minute changes to my presentation deck.

The first thing I attended was a Birds of a Feather session called White Teachers as Anti-Racist Allies. I listened closely. Living in New Hampshire were we don’t have a lot of people of color it is easy to fall into the idea that race is not an issue. But of course I have been teaching in a school with more than the average number of people of color for the area so I know better. This BoF gave me some things to think about.

I couldn’t focus on anything after the BoF. In all honesty I couldn’t get my mind off of getting myself set for you presentation. This tends to happen to be at in-person conferences as well. I probably missed something valuable but hopefully I can watch recordings later.

If you are interested, my presentation slides can be downloaded from Techniques for Teaching Programming. Someone else will have to review that session. Please be kind.

After lunch was a keynote by Dr. Ruha Benjamin called Keynote: 2020 Vision: Re-imagining the Default Settings of Technology and Society She focused on the intersection of technology and bias. Really thought provoking. She shared a really interesting video called "Racial Sensitivity" from Better Off Ted Recommended. How does data and algorithm incorporate bias?

After the keynote I started with Our Code From Miles Away: CS via Distance Learning, which according to to the slides was going to be about Pear Deck and FlipGrid. The main presenter had some issues with time zone coordination which is more a problem with online conferences than in-person ones. Anyway, I left early and moved to Machine Learning in the High School Classroom. It was well done but jumping in 20 minutes late means I missed some important context. I look forward to viewing the recording from the beginning And reading through the website I linked in the session title.. Not much else I can say about this one I am afraid.

Next up was Git and GitHub: How to Use It, How to Teach It, which was of course about Git and GitHub. This was a very fast paced session by a pair of experts. I learned a lot from this one.

I dropped into Nifty Assignments for my last session of the day.

• Memory Trainer (Dale Reed) - a lot like mine parity project http://blog.acthompson.net/2013/11/making-magic-with-software.html Though Dale’s app looks cooler.
• Abstract Data Art (Josh Caldwell)  - Interesting use of data and visualization

The archive of CSTA Nifty Assignments is here. Check them out!

So the virtual conference is over. For me there were a lot of great sessions. If you were there, what sessions did you like? Let me know which ones I should look for when the recordings are ready.

CSTA 2020 Conference Online–Day One

Day one of the online CSTA 2020 conference has been today. I’m blogging this as the day goes on and posting it at the end of the day. We started with welcome remarks and some tutorial about using the Hopin conference platform. As a presenter, I’d had some time to try this out previously but I think this was probably very valuable for first time users. I hope not many missed it.

After welcomed remarks we had some networking time. This is actually fun as you are randomly placed in a window with someone for 5 minutes of casual chatting. I found this a nice way to warm up to the day. And to chat with CS teachers from other parts of the country.

During the first break out I attended a session called - Integrating Cybersecurity into the AP CSP Course.I really think we need to teach more of cybersecurity so I jumped into this one. The people have Whatcon Communiyt College have some very interesting and useful looking resources for teaching Cybersecurity. They have 13 units at their website which I link to below along with their sites description.

C5 Cybersecurity Concept Lessons

NCYTE Center supports the work of a related grant project also based at Whatcom Community College, Catalyzing Computing and Cybersecurity in Community Colleges (C5). One of the goals of the C5 project is to develop and disseminate instructional materials to enhance computer science and cybersecurity courses.

The following Cybersecurity Concept Lessons (CCL) illustrate how Cybersecurity can be integrated into the AP CSP course. Each lesson contains activities, a presentation and an overview document that can be downloaded and used in the classroom.

The first keynote started after a sort of ad from Apple. A lot of side chatter was about the usability of Swift without having a Mac to compile on. I may have to look into that. I will start here I guess https://www.makeuseof.com/tag/program-swift-in-windows/

The keynote was by Linda Liukas who writes children’s books about computing. I really need to look into her “Hello Ruby” books. Lots of us use the exercise of having students write instructions for making a peanut butter sandwich or a paper airplane (my favorite) but Linda suggested brushing ones teeth. That sounds fun. The talk had a lot of computer free examples and exercises. Most of these would work for a wide range of ages.

The keynote was high energy and inspiring for me. Videos will be available later for CSTA+ members I believe. I plan to watch it again.

Lunch break and time to visit the booths and poster sessions. I visited a couple of booths. It’s interesting as the booths I visited had 50-60 people listening to the person “working the booth.” I spend some time in the Microsoft booth while they were talking about the Hacking STEM program and projects. I keep telling myself I need to get into this stuff but year after year I find myself pulled into other things. Maybe I’ll get to it now that I am retired. Then maybe I can do quest visits to my old school. We’ll see. I really do want to get involved in hands one matter hacking.

After lunch, Mini-Session 3: Tools to Teach 9th-12th Grade There are over 150 people attending this session! Can you picture having rooms that large for as many sessions (12 by my count)  as are going on now?

This session started with Truffle Hunt: Teaching an AI Agent to Play a Minesweeper-Based Game (that link is to the PowerPoint which itself has resource/reference links) I like the idea of teaching rules based AI. Jeffrey L. Popyack from Drexel University presented that one.

Next up was Teaching AI to High Schoolers Inclusively with  Sarah Judd, AI4ALL. Her slides are at  https://bit.ly/AI4ALL-CSTA2020 Sarah talked about an Open Learning curriculum for teaching Artificial Intelligence. You can Access the curriculum at  http://olp.ai-4-all.org

The last mini session was by Leon LaSpina on MATLAB.  His slides on MATLAB are here. Leon is a great guy and I can see some reasons for people to teach MATLAB. But I left early and just dropped in on a couple of other sessions for a few minutes at a time. It is less disruptive to enter and leave sessions online.

Next up, Formative Assessment and Feedback for CS Learning with over 270 attendees! I guess a lot of us are interested in doing better assessment and giving feedback. Slides are available at  Formative Assessment This is another session I want to watch a second time.

I attended Incorporating Culturally Authentic Practices in a Problem Based Computer Science Classroom. I’ve always been a proponent of project based learning but I haven’t thought a whole lot about cultural reliance before. It seemed more about PBL in general than specifically how to make them culturally relevant. It may be just me though.

So I jumped into Teaching Girls to Code and Change the World which was about Girls Who Code. Girls Who Code is an outstanding program.  I love the concepts of their program. It’s so much more than coding as it includes community building, long term connections and networking, and showing of role models.

The afternoon keynote was by Hadi Partovi of code.org and titled K-12 CS: How Far We've Come and Where We're Headed Hadi started with a review of where we were 7 years ago and how far we have come. Hadi listed a bunch of individuals and organizations who have helped make the progress we have seen in that time. It was awesome to hear him call out so many. It’s been a global village.

Hadi ta;led about how important it is to teach students ethical thinking and taking into account the impact of computing and technology. This is so important. I’ve heard Hadi speak several times and this was far and away his best talk.

The last session I attended was AP CSP 2020: Updated Course and Exam because there is a chance I may teach AP CS P online in the fall. Maybe. In any case, this was VERY useful if you are teaching AP CS Principles. I have to say that I like the changes. They have really made the create task more clear and added some specific requirements that I think make the task more rigorous. . I’m happy about dropping the explore task as a digital portfolio part of the exam. The link on the session name at the start of the paragraph is to their presentation deck. I saved a copy for potential mixing and definitely for my own review.

That’s the session wrap up from me. I’ll have more thoughts specifically about how the online conference experience was for me in a day or so. And of course I will be blogging about tomorrow’s sessions tomorrow.

Book Review: Computer Science in K-12

Full disclosure: I haven’t read all of “Computer Science for K-12” edited and compiled by Shuchi Grover yet but a couple of chapters was enough to convince me I should recommend it to other computer science teachers. The books has chapters written by a veritable who’s who of computer science educators. (See the table of contents listed below) I’ve heard many of them speak, read much of their published works, and met more than a few of them. I knew from the author list that it would be worth having.

I have been jumping around a bit but for me the chapter on Naïve Conceptions of Novice Programmers alone was worth the price of the book.  I have no doubt that I am going to learn a bunch reading the rest of it. The chapter or chapters you read that makes the book worth the price may vary but I suspect you’ll find several such. If you are looking to improve HOW you teach CS you should get this book.

It is available with black and white illustrations and diagrams and color versions. I bought the black and white version but wish I had spent a few extra dollars for the color. It's available from Amazon and Barnes & Noble

• Computer Science for K-12 – Barnes and Noble
•  Computer Science for K-12 - Color Edition
• Computer Science for K-12 - Black/White Edition

The table of contents is below from the Amazon page.

0. Foreword (Inventing Computing Education in Schools) by Mark Guzdial
1. Algorithms (Shuchi Grover)
2. Before You Program, Plan! (Phil Bagge, Shuchi Grover)
3. Creative Coding (Miles Berry)
4. Data Structures (Baker Franke, Richard Kick)
5. Events (Jennifer Rosato, David Wolber)
6. Feedback Through Formative Check-Ins (Shuchi Grover, Vicky Sedgwick, Kelly Powers)
7. Guided Exploration Through Unplugged Activities (Paul Curzon, Shuchi Grover)
8. Hard Fun With Hands-on Constructionist Project-Based Learning (Deborah Fields, Yasmin Kafai)
9. Integrating Programming Into Other Subjects (Shuchi Grover, Aman Yadav)
10. JavaScript, Python, Scratch, or Something Else? Navigating the Bustling World of Introductory Programming Languages (David Weintrop, Shuchi Grover)
11. Knowledge, Skills, Attitudes, and Beliefs | Learning Goals for IntroductoryProgramming (Rebecca Vivian, Shuchi Grover, Katrina Falkner)
12. Learner-Centered and Culturally Responsive Pedagogy (Tia C. Madkins, Jakita O. Thomas,Jessica Solyom, Joanna Goode, Frieda McAlear)
13. Modularity With Methods and Functions (Mike Zamansky, Jens Monig, Jonalf Dyrland-Weaver)
14. Naïve Conceptions of Novice Programmers (Juha Sorva)
15. Operators and Expressions (Matthias Hauswirth, Shuchi Grover)
16. Pair Collaboration and Pair Programming (Shannon Campe, Jill Denner)
17. Questioning and Inquiry (Shuchi Grover, Steven Floyd)
18. Repetition and Recursion (Dan Garcia, Joshua Paley)
19. Selecting Pathways With Conditionals (Shuchi Grover)
20. Testing and Debugging (Kathryn Rich, Carla Strickland)
21. Universal Design for Learning: Reaching All Students (Maya Israel, Todd Lash)
22. Variables (Shuchi Grover)
23. Worked Examples and Other Scaffolding Strategies (Jane Waite, Shuchi Grover)
24. X-ing boundaries With Physical Computing (Sue Sentance, Katharine Childs)
25. Yay, My Program Works! Beyond Working Code ... Good Habits of Programming (Shuchi Grover)
26. Zestful Learning (Bryan Twarek)